| 考虑电动汽车碳配额的电力系统调度分析 |
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| 引用本文： | 陈中,陆舆,邢强,陈轩,冷钊莹. 考虑电动汽车碳配额的电力系统调度分析[J]. 电力系统自动化, 2019, 43(16): 44-51 |
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| 作者姓名： | 陈中 陆舆 邢强 陈轩 冷钊莹 |
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| 作者单位： | 东南大学电气工程学院,江苏省南京市210096;江苏省智能电网技术与装备重点实验室,东南大学,江苏省南京市210096;国网江苏省电力有限公司检修分公司,江苏省南京市,211102 |
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| 基金项目： | 国家重点研发计划资助项目(2016YFB0101803)；国家电网公司科技项目(SGTYHT/17-JS-199) |
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| 摘 要： | 定义了电动汽车碳配额和碳收益的计算方法，以电动汽车减排量作为其获得的碳配额，可以出售获得利益。以火电利益最大和电动汽车充电成本最低为目标，建立了考虑电动汽车参与碳交易市场的调度模型，并使用多目标粒子群算法对模型进行求解。结果验证了当电动汽车拥有碳配额参与调度，在降低用户成本的同时，电动汽车的碳减排性能能够得到充分的发挥。最后，分析了碳配额价格、风电装机容量以及可调度的电动汽车数量对电动汽车参与调度的影响，发现清洁能源和电动汽车需要同步发展，是电动汽车绿色特性体现的重要基础。
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| 关 键 词： | 电动汽车 碳配额 碳交易 协同调度 |
| 收稿时间： | 2018-09-14 |
| 修稿时间： | 2019-04-28 |
Dispatch Analysis of Power System Considering Carbon Quota for Electric Vehicle |
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| CHEN Zhong,LU Yu,XING Qiang,CHEN Xuan and LENG Zhaoying. Dispatch Analysis of Power System Considering Carbon Quota for Electric Vehicle[J]. Automation of Electric Power Systems, 2019, 43(16): 44-51 |
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| Authors: | CHEN Zhong LU Yu XING Qiang CHEN Xuan LENG Zhaoying |
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| Affiliation: | School of Electrical Engineering, Southeast University, Nanjing 210096, China; Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment, Southeast University, Nanjing 210096, China,School of Electrical Engineering, Southeast University, Nanjing 210096, China; Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment, Southeast University, Nanjing 210096, China,School of Electrical Engineering, Southeast University, Nanjing 210096, China; Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment, Southeast University, Nanjing 210096, China,Maintenance Company of State Grid Jiangsu Electric Power Co. Ltd., Nanjing 211102, China and School of Electrical Engineering, Southeast University, Nanjing 210096, China; Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment, Southeast University, Nanjing 210096, China |
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| Abstract: | This paper defines a calculation method of carbon quotas and revenues for electric vehicles(EVs). The EV emission reductions can be sold as its carbon quotas to obtain profits. A dispatching model considering EVs participating in carbon trading market is established to get the maximum profit of thermal power and the minimum charging cost of EVs. The model is calculated by multi-objective particle swarm optimization algorithm. The results demonstrate that the emission reduction performance of EVs can be fully utilized and the costs of users can be reduced when EVs have carbon quotas to participate in the dispatch. Finally, the impacts of carbon quota price, wind power installed capacity and the number of dispatchable EVs on the participation of EVs in the dispatch are analyzed. It is found that the clean energy and EVs need to develop at the same time, which is an important basis for the green characteristics of EVs. |
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| Keywords: | electric vehicle(EV) carbon quota carbon trading collaborative dispatch |
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